On Fri, Feb 26, 2010 at 11:49 AM, Jorge Montero
<jorge_montero@homedecorators.com> wrote:
>
>
>>>> Tory M Blue <tmblue@gmail.com> 02/26/10 12:52 PM >>>
>>>
>>> This is too much. Since you have 300 connections, you will probably swap
>>> because of this setting, since each connection may use this much
>>> work_mem. The rule of the thumb is to set this to a lower general value
>>> (say, 1-2 MB), and set it per-query when needed.
>
> 1-2MB is good enough for many families of queries, but it's hard to say what the right default should be for you. The
rightnumber can be estimated by running explain analyze on your most common queries, with parameters that are
representativeto regular use, and see how much memory they actually claim to use. In my case, for example, most of my
queriesdo just fine with 10 MB, while the reporting queries that accumulate quite a bit of deta request up to 60MB.
>
> If your average query needs 100 MB, it'd still mean that 40 connections take 4 gigs worth of work memory, which might
bebetter spent caching the database.
Ya my boxes are pretty well stacked, but a question. How does one get
the memory usage of a query. You state to look at explain analyze but
this gives timing and costs, but is one of the numbers memory or do I
have to take values and do some math?
--------------------------------------------------------------------------------------------------------------------------
Function Scan on listings_search (cost=0.00..260.00 rows=1000
width=108) (actual time=904.374..904.383 rows=10 loops=1)
Total runtime: 904.411 ms
Thanks
Tory
Also don't think this 5 second thing is the DB.. Sure is not checkpoints.